All Categories : Technical Papers : 2014 ASPRS Louisville Proceedings Bookmark and Share

Title : Multi-Sensory Data Integration for Extracting Geotechnical Parameters for Landslides Hazard Assessment
Company : University of Calgary
File Name : Al-Rawabdeh.pdf
Size : 1285657
Type : application/pdf
Date : 12-May-2014
Downloads : 10

Rate This File
5 Stars
4 Stars
3 Stars
2 Stars
1 Star

Authors: Abdulla Al-Rawabdeh, Ayman Habib, Fangning He

Geotechnical engineering is a relatively new discipline that has developed rapidly over the past 30 years. It deals with a wide spectrum of natural geological materials ranging from low strength soils to high strength rocks. Earth movements are common in many parts of the world and, as a result, present serious safety and mortality risk to humans in addition to affecting construction activities. Earth movement can be classified into different categories with landslides as being one of those categories. In order to assess the stability of landslides, different geo-technical parameters are required such as the strike and dip of the discontinuity planes in the potential area. Areas affected by landslides are often inaccessible which makes manual compass and inclinometer measurements challenging because of the danger involved in this operation. Preventing large natural landslides is difficult; however some mitigation is possible and can help to minimize the hazards. Nowadays, 3D modeling of objects can be achieved through either passive or active remote sensing systems. Active sensors, such as Terrestrial Laser Scanning systems (TLS) have been used extensively for quick acquisition of highly accurate three-dimensional point cloud data with high resolution. However, the TLS in some cases has limitations during the data collection due to occlusions, orientation bias and truncation. This research addresses those issues by investigating the possibility of augmenting TLS in the occluded regions through close-range photogrammetry to generate high resolution and dense point cloud using the Semi-Global Matching (SGM) algorithm. By augmenting the two data acquisition methods and registering to a common coordinate system to provide a complete point cloud for the area of interest, any limitations and exposed gaps in the data are filled. Planar segmentation is then carried out to extract the required geotechnical parameters automatically. Four sets of geotechnical parameters have been compared in this research: 1) a set of manual measurements, 2) a set extracted from the TLS data only, 3) a set extracted from the SGM algorithm only, 4) and finally a set extracted from the fused TLS and SGM data. The results showed that the data fusion method provided more accurate results when compared to the results coming from the TLS data and those coming from SGM only. This reveals that the impact of the occluded regions on the calculations of the geotechnical parameters must be considered to achieve the required quality of the estimation process. The proposed method of this research provided high quality measurements for the geotechnical parameters required to assess the landslide hazard, ensured safety, and saved cost and time.
User Reviews More Reviews Review This File
Harris

Featured Video
Jobs
Project Manager for Keystone Aerial Surveys at Philadelphia, PA
GIS Specialist for Fresno Irrigation District at Fresno, CA
Geospatial Systems Administrator for BAE Systems Intelligence & Security at arnold, MO
Geospatial Analyst - Senior for BAE Systems Intelligence & Security at Springfield, VA
Avionics System Engineer for BAE Systems Intelligence & Security at Arlington, VA
Senior Mechanical Engineer for BAE Systems Intelligence & Security at Arlington, VA
Upcoming Events
Webinar: What's New in Global Mapper v19.1 at United States - Feb 27, 2018
2018 Esri Developer Summit at Palm Springs Convention Center Palm Springs CA - Mar 6 - 9, 2018
Gi4DM 2018: GeoInformation for Disaster Management at Suleyman Demirel Cultural Center Maslak Campus of Istanbul Technical University (ITU) Istanbul Turkey - Mar 18 - 21, 2018
2018 GIS/CAMA Technologies Conference at Hyatt Regency Houston Houston TX - Mar 19 - 22, 2018
Teledyne Optech
Teledyne:
GEOINT2018



Internet Business Systems © 2018 Internet Business Systems, Inc.
25 North 14th Steet, Suite 710, San Jose, CA 95112
+1 (408) 882-6554 — Contact Us, or visit our other sites:
AECCafe - Architectural Design and Engineering EDACafe - Electronic Design Automation TechJobsCafe - Technical Jobs and Resumes  MCADCafe - Mechanical Design and Engineering ShareCG - Share Computer Graphic (CG) Animation, 3D Art and 3D Models
  Privacy PolicyAdvertise